planning_prep

A business-analysis planning guide for starting a project or initiative and deciding how the analysis work will be organized.

In plain words
What is it for?
Use it to choose a working method, identify stakeholders, organize analysis tasks, and plan how progress will be monitored.
Why use it?
It helps clarify the approach, people, methods, and activities needed before analysis begins.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/chaussky/ainalyst/planning_prep
Any agent
npx skills add chaussky/ainalyst --skill planning_prep
Clone the repo
git clone --depth 1 https://github.com/chaussky/ainalyst

Made for: Claude Code, Codex.

Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,660 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00127 $0.02660
Opus 5 $0.00063 $0.01330
Sonnet 5 $0.00025 $0.00532
Haiku 4.5 $0.00013 $0.00266

Measured 2d ago against content hash a8942c1d7fce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planning_prep scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/planning_prep/SKILL.md · 254 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 254 lines · 127 tokens per session scan A a8942c1d7fce

Subscribe to this mod's changes

planning_prep is a skill published in the GitHub repository chaussky/ainalyst (41 stars, last pushed 7d ago), licensed AGPL-3.0. It adds 127 tokens to every session and 2,660 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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